Cross Layer Optimization for Video Transmission over Cognitive Networks for Multiple Pair of Nodes

Cognitive Radios (CR) are intelligent radio devices that can sense the radio environment and adapt to changes in radio environment. Multimedia applications are the important application in today’s wireless communication devices. Real time video transmission requires large bandwidth and need to satisfy quality of service constraints. To achieve the desired video quality, a cross layer optimized cognitive radio system can be used. In this study, multiple secondary users have been considered. A non-overlapping channel assignment algorithm is used to avoid the contention when multiple secondary users try to access the same channel. In this work, the primary network activity and the wireless channel is modelled. The encoder behaviour, cognitive MAC scheduling, transmission and modulation and coding are jointly optimized for secondary users in a systematic way under a distortion- delay framework for the best video quality perceived by secondary users. Aim of this work is to improve the performance of video transmission in CR network for multiple pair of nodes and analyze the performance.